If you told us back in 2021 that artificial intelligence (AI) and machine learning (ML) would become so big in 2026, we might have thought you were crazy.

However, with all the recent talk about AI and ML, we’ve never found great definitions of either concept or specific examples of how to apply these tools in business or science, so our team at Chestnut Hill Analytics wrote this article to cover:

1. East-to-understand and intuitive definitions of AI, machine learning and related concepts like generative AI, AI hallucinations, deep learning, and leading machine learning techniques

2. A summary of five specific examples of how AI or machine learning can improve businesses processes and enhance scientific research studies